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data at both the action potential and local field potential levels. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally
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January 2026 or as soon as possible thereafter. The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior
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here . Further information Further information may be obtained from Associate Professor Yang Hu (yanhu@dtu.dk) You can read more about DTU Energy at www.energy.dtu.dk If you are applying from abroad, you
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. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum
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well as abroad. Your primary tasks will be to: Using automotive lidars for detection of wind turbine blade deflection Development of efficient ways to analyze the automotive lidar data Develop the technology to
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agreed upon with the relevant union. The period of employment is 2 year. Starting date as soon as possible in the new year. You can read more about career paths at DTU here . Further information Further
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
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about career paths at DTU here . Further information Further information may be obtained from Professor Yi Sun (suyi@dtu.dk ). You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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. Further information Further information may be obtained from Professor Wei Yan, tel.: +45 2245 0662, email: weya@kemi.dtu.dk . You can read more about Department of Chemistry on www.kemi.dtu.dk If you are
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems